Over the last two decades, a major challenge for researchers
working on modeling and evaluation of computer-based systems has
been the assessment of system Non Functional Properties (NFP) such
as performance, scalability, dependability and security.
In this book, the authors present cutting-edge model-driven
techniques for modeling and analysis of software dependability.
Most of them are based on the use of UML as software specification
language. From the software system specification point of view,
such techniques exploit the standard extension mechanisms of UML
(i.e., UML profiling). UML profiles enable software engineers to
add non-functional properties to the software model, in addition to
the functional ones. The authors detail the state of the art on UML
profile proposals for dependability specification and rigorously
describe the trade-off they accomplish. The focus is mainly on RAMS
(reliability, availability, maintainability and safety) properties.
Among the existing profiles, they emphasize the DAM (Dependability
Analysis and Modeling) profile, which attempts to unify, under a
common umbrella, the previous UML profiles from literature,
providing capabilities for dependability specification and
analysis. In addition, they describe two prominent model-to-model
transformation techniques, which support the generation of the
analysis model and allow for further assessment of different RAMS
properties. Case studies from different domains are also presented,
in order to provide practitioners with examples of how to apply the
aforementioned techniques.
Researchers and students will learn basic dependability concepts
and how to model them usingUML and its extensions. They will also
gain insights into dependability analysis techniques through the
use of appropriate modeling formalisms as well as of model-to-model
transformation techniques for deriving dependability analysis
models from UML specifications. Moreover, software practitioners
will find a unified framework for the specification of
dependability requirements and properties of UML, and will benefit
from the detailed case studies."
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